Hello to all!
First of all, I would like to thank the users of this forum who helped me a lot in my learning of Stata software.
I'm asking you today to solve a problem with the creation spells. Indeed I have a panel database of countries observed on a monthly basis. The variable disaster is coded as follows: it takes the value 1 when a climatic phenomenon takes place in a specific month. If the disaster lasted more than one month then the variable takes the value of -1 the month it ended.
I would like to create a new variable (disacter2) from a stata code which will take the value of 1 on the period of phenomenon and zero otherwise. As an illustration I have created this variable (disester2) in Excel.
I would be grateful if you could help me to create this variable in stata. Thanks
First of all, I would like to thank the users of this forum who helped me a lot in my learning of Stata software.
I'm asking you today to solve a problem with the creation spells. Indeed I have a panel database of countries observed on a monthly basis. The variable disaster is coded as follows: it takes the value 1 when a climatic phenomenon takes place in a specific month. If the disaster lasted more than one month then the variable takes the value of -1 the month it ended.
I would like to create a new variable (disacter2) from a stata code which will take the value of 1 on the period of phenomenon and zero otherwise. As an illustration I have created this variable (disester2) in Excel.
I would be grateful if you could help me to create this variable in stata. Thanks
Code:
* Example generated by -dataex-. For more info, type help dataex clear input int year byte month str3 country_code byte(disaster disaster2) float period 2018 1 "BEN" 0 0 696 2018 2 "BEN" 0 0 697 2018 3 "BEN" 0 0 698 2018 4 "BEN" 0 0 699 2018 5 "BEN" 0 0 700 2018 6 "BEN" 1 0 701 2018 7 "BEN" 0 0 702 2018 8 "BEN" 0 0 703 2018 9 "BEN" 0 0 704 2018 10 "BEN" 0 0 705 2018 11 "BEN" 0 0 706 2018 12 "BEN" 0 0 707 2019 1 "BEN" 0 0 708 2019 2 "BEN" 0 0 709 2019 3 "BEN" 0 0 710 2019 4 "BEN" 0 0 711 2019 5 "BEN" 1 1 712 2019 6 "BEN" 0 1 713 2019 7 "BEN" 0 1 714 2019 8 "BEN" 0 1 715 2019 9 "BEN" 0 1 716 2019 10 "BEN" 0 1 717 2019 11 "BEN" -1 1 718 2019 12 "BEN" 0 0 719 2020 1 "BEN" 0 0 720 2020 2 "BEN" 0 0 721 2020 3 "BEN" 0 0 722 2020 4 "BEN" 0 0 723 2020 5 "BEN" 0 0 724 2020 6 "BEN" 0 0 725 2020 7 "BEN" 0 0 726 2020 8 "BEN" 0 0 727 2020 9 "BEN" 0 0 728 2020 10 "BEN" 0 0 729 2020 11 "BEN" 1 1 730 2020 12 "BEN" 0 1 731 2021 1 "BEN" 0 1 732 2021 2 "BEN" 0 1 733 2021 3 "BEN" 0 1 734 2021 4 "BEN" 0 1 735 2021 5 "BEN" -1 1 736 2021 6 "BEN" 0 0 737 2021 7 "BEN" 0 0 738 2021 8 "BEN" 0 0 739 2021 9 "BEN" 0 0 740 2021 10 "BEN" 0 0 741 2021 11 "BEN" 0 0 742 2021 12 "BEN" 1 0 743 2018 1 "BFA" 0 0 696 2018 2 "BFA" 0 0 697 2018 3 "BFA" 0 0 698 2018 4 "BFA" 0 0 699 2018 5 "BFA" 0 0 700 2018 6 "BFA" 1 0 701 2018 7 "BFA" 0 0 702 2018 8 "BFA" 0 0 703 2018 9 "BFA" 0 0 704 2018 10 "BFA" 0 0 705 2018 11 "BFA" 0 0 706 2018 12 "BFA" 1 1 707 2019 1 "BFA" 0 1 708 2019 2 "BFA" 0 1 709 2019 3 "BFA" 0 1 710 2019 4 "BFA" 0 1 711 2019 5 "BFA" 0 1 712 2019 6 "BFA" 0 1 713 2019 7 "BFA" -1 1 714 2019 8 "BFA" 0 0 715 2019 9 "BFA" 0 0 716 2019 10 "BFA" 0 0 717 2019 11 "BFA" 0 0 718 2019 12 "BFA" 0 0 719 2020 1 "BFA" 0 0 720 2020 2 "BFA" 0 0 721 2020 3 "BFA" 1 0 722 2020 4 "BFA" 0 0 723 2020 5 "BFA" 0 0 724 2020 6 "BFA" 0 0 725 2020 7 "BFA" 0 0 726 2020 8 "BFA" 1 1 727 2020 9 "BFA" 0 1 728 2020 10 "BFA" 0 1 729 2020 11 "BFA" 0 1 730 2020 12 "BFA" 0 1 731 2021 1 "BFA" 0 1 732 2021 2 "BFA" 0 1 733 2021 3 "BFA" -1 1 734 2021 4 "BFA" 0 0 735 2021 5 "BFA" 0 0 736 2021 6 "BFA" 0 0 737 2021 7 "BFA" 0 0 738 2021 8 "BFA" 0 0 739 2021 9 "BFA" 0 0 740 2021 10 "BFA" 0 0 741 2021 11 "BFA" 0 0 742 2021 12 "BFA" 0 0 743 2018 1 "CIV" 1 0 696 2018 2 "CIV" 0 0 697 2018 3 "CIV" 0 0 698 2018 4 "CIV" 0 0 699 end format %tm period

Comment